6
(for responses only), or setting an exact value (for factors
only).
The evaluation was conducted with two main optimi-
zation sets. The first set aimed to maximize iron recovery
while minimizing the SiO2 content in the final concen-
trate. The second set maintained the same optimization
parameters but excluded two biosurfactants, Bio-FPL-01B
and Bio-BDOE-05, from the mixture. For both optimiza-
tion sets, the objective was to minimize the standard error
for both iron recovery and SiO2 content in the concentrate.
Figure 6 displays the plot of all solutions obtained from
the optimization sections, comparing them against a base-
line that included 100% Amine, and 70% Amine mixed
with 30% MIBC, tests in duplicates and triplicates. The
best result for the baseline iron recovery was 23.3%, with a
SiO2 in the concentrate of 2.8%. In contrast, for the bio-
surfactant results, with a similar SiO2 in the concentrate of
3.1%, the iron recovery increased significantly to 50.7%,
representing a substantial improvement in iron recovery
while maintaining selectivity.
Based on the optimized results, Locus Mining then
developed eight products with distinct characteris-
tics to cover a broad range of operational needs. To gain
deeper insight into the effectiveness and selectivity of
flotation frothers, Laskowski tried to establish a corre-
lation between calculated HLB and molecular weight.
In the diagram Figure 7(a), various frothers are plotted
on the HLB – Molecular Weight axis (HLB stands for
Figure 5. 3D Surface with a) Amine and MIBC at different ratios under pH levels from 7.5 to 10.5, and b) Amine and
Biosurfactant Bio-FPL-02 at different ratios under pH levels from 7.5 to 10.5
Figure 6. a) Grade-Recovery curve: Biosurfactants’ optimal solutions against the baseline. b) Separation Efficiency vs.
Selectivity Index: Biosurfactants’ optimal solutions against the baseline
(for responses only), or setting an exact value (for factors
only).
The evaluation was conducted with two main optimi-
zation sets. The first set aimed to maximize iron recovery
while minimizing the SiO2 content in the final concen-
trate. The second set maintained the same optimization
parameters but excluded two biosurfactants, Bio-FPL-01B
and Bio-BDOE-05, from the mixture. For both optimiza-
tion sets, the objective was to minimize the standard error
for both iron recovery and SiO2 content in the concentrate.
Figure 6 displays the plot of all solutions obtained from
the optimization sections, comparing them against a base-
line that included 100% Amine, and 70% Amine mixed
with 30% MIBC, tests in duplicates and triplicates. The
best result for the baseline iron recovery was 23.3%, with a
SiO2 in the concentrate of 2.8%. In contrast, for the bio-
surfactant results, with a similar SiO2 in the concentrate of
3.1%, the iron recovery increased significantly to 50.7%,
representing a substantial improvement in iron recovery
while maintaining selectivity.
Based on the optimized results, Locus Mining then
developed eight products with distinct characteris-
tics to cover a broad range of operational needs. To gain
deeper insight into the effectiveness and selectivity of
flotation frothers, Laskowski tried to establish a corre-
lation between calculated HLB and molecular weight.
In the diagram Figure 7(a), various frothers are plotted
on the HLB – Molecular Weight axis (HLB stands for
Figure 5. 3D Surface with a) Amine and MIBC at different ratios under pH levels from 7.5 to 10.5, and b) Amine and
Biosurfactant Bio-FPL-02 at different ratios under pH levels from 7.5 to 10.5
Figure 6. a) Grade-Recovery curve: Biosurfactants’ optimal solutions against the baseline. b) Separation Efficiency vs.
Selectivity Index: Biosurfactants’ optimal solutions against the baseline